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Dive into the research topics where S. Jeffrey Underwood is active.

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Featured researches published by S. Jeffrey Underwood.


Weather and Forecasting | 2009

Synoptic Climatological Analyses of Extreme Snowfalls in the Sierra Nevada

Brian F. O'hara; Michael L. Kaplan; S. Jeffrey Underwood

Abstract The Sierra Nevada of eastern California receives heavy snowfall each year. However, it is the snowstorms that deposit heavy snowfall in a relatively short period of time that can cause major inconveniences and even life-threatening situations for the residents and visitors to the region. Some of these snowstorms are so extreme as to become legendary, and with increased population in this region a synoptic climatology of these extreme snowstorms can be a useful tool for assessing snowfall potential by operational forecasters. Additionally, the hydrological and climatological implications of extreme Sierra Nevada snowfalls are important for state and local resource- and emergency-planning purposes. A climatology of these snowstorms will be presented. The period of study will include the snowfall seasons (October–May) 1949/50 through 2004/05. A total of 542 snowstorms occurred during these 56 snowfall seasons. These snowstorms were analyzed to determine any common synoptic features. The most intense...


Journal of Hydrometeorology | 2009

The Role of Upstream Midtropospheric Circulations in the Sierra Nevada Enabling Leeside (Spillover) Precipitation. Part I: A Synoptic-Scale Analysis of Spillover Precipitation and Flooding in a Leeside Basin

S. Jeffrey Underwood; Michael L. Kaplan; K. C. King

Abstract Pacific-originating storms that produce heavy leeside liquid precipitation in the Sierra Nevada are rare compared to those that generate windward slope rainfall. However, these leeside precipitation events have a profound effect on the flood hydrology of leeside basins in the Sierra Nevada. This study identified 12 storms that affected the Truckee River basin in northeastern Nevada. The storms produced both moderate and extreme flooding in this leeside basin. A synoptic-scale analysis of conditions leading to leeside storms was produced using a compositing procedure. Composites for multiple pressure levels and multiple parameters were produced for class 1 storms—those storms producing moderate flood flow in the Truckee River basin—and class 2 storms—those producing extreme flooding [>10 000 cubic feet per second (cfs), or 283 m3 s−1] in this basin. The analysis confirms that the two flood populations are in fact generated by Pacific-originating storms with observably different synoptic-scale circ...


Journal of Hydrometeorology | 2009

The Role of Upstream Midtropospheric Circulations in the Sierra Nevada Enabling Leeside (Spillover) Precipitation. Part II: A Secondary Atmospheric River Accompanying a Midlevel Jet

Michael L. Kaplan; Christopher S. Adaniya; Phillip J. Marzette; K. C. King; S. Jeffrey Underwood; John M. Lewis

Abstract The synoptic structure of two case studies of heavy “spillover” or leeside precipitation—1–2 January 1997 and 30–31 December 2005—that resulted in Truckee River flooding are analyzed over the North Pacific beginning approximately 7 days prior to the events. Several sequential cyclone-scale systems are tracked across the North Pacific, culminating in the strengthening and elongation of a polar jet stream’s deep exit region over northern California and Nevada. These extratropical cyclones separate extremely cold air from Siberia from an active intertropical convergence zone with broad mesoscale convective systems and tropical cyclones. The development of moisture surges resulting in leeside flooding precipitation over the Sierra Nevada is coupled to adjustments within the last wave in the sequence of cyclone waves. Stage I of the process occurs as the final wave moves across the Pacific and its polar jet streak becomes very long, thus traversing much of the eastern Pacific. Stage II involves the de...


Journal of Hydrometeorology | 2004

Patterns of Cloud-to-Ground Lightning and Convective Rainfall Associated with Postwildfire Flash Floods and Debris Flows in Complex Terrain of the Western United States

S. Jeffrey Underwood; Michael D. Schultz

Abstract Flash flood and debris flow reports from Storm Data and the U.S. Geological Survey (USGS) are used to investigate the relationship between hazardous hydrological responses, convective rainfall, and cloud-to-ground (CG) lightning flash parameters. Basins burned by the Coal Seam and Missionary Ridge wildfires during the summer of 2002 in western Colorado were selected as primary study areas. The North American monsoon (NAM) air mass played a pivotal role in providing low-level moisture over much of Colorado during each of the 12 hydrological events identified. Surface θe values as high as 354 K were calculated over western Colorado in a composite analysis that also saw a θe ridge through 500 hPa extending northward into Nebraska and southern South Dakota. Storm-total CG flashes were as high as 718, and the median flash total for the population of events was 256. Mean 5-min CG flash intensity for the events was 18.1 flashes. The mean rainfall intensity associated with the 12 hydrological events was ...


Journal of Applied Meteorology | 2005

A method to identify the optimal areal unit for NLDN cloud-to-ground lightning flash data analysis

Michael D. Schultz; S. Jeffrey Underwood; Premkrishnan Radhakrishnan

Abstract Currently, no uniform method exists for determining the optimal areal unit to analyze National Lightning Detection Network (NLDN) data. To address this problem, this paper utilizes the capabilities of modern geographic information systems (GIS) software to develop a consistent method for identifying areal analysis units while considering the location accuracy of the NLDN. Five grid cells were created at spatial resolutions of 0.1°, 0.2°, 0.3°, 0.4°, and 0.5°. To create cloud-to-ground (CG) lightning strikes, random points were generated at nine densities ranging from 1 to 9 strikes per square kilometer. A buffer of 500 m was placed around each random point to account for the margin of error in NLDN location accuracy. Random points that, when buffered to 500 m, still remained completely within the study region were evaluated as a percentage of all of the strikes to determine accuracy. The greatest accuracy of 95.88% was observed in the 0.5° grid cell at a density of 9 strikes per square kilometer....


Journal of Geophysical Research | 2013

Re‐examination of the I‐5 dust storm

Michael L. Kaplan; Ramesh Vellore; John M. Lewis; S. Jeffrey Underwood; Patricia M. Pauley; Jonathan E. Martin; R. Krishnan


Journal of Geophysical Research | 2013

Subtropical‐polar jet interactions in Southern Plains dust storms

Michael L. Kaplan; Ramesh Vellore; John M. Lewis; S. Jeffrey Underwood; Patricia M. Pauley; Jonathan E. Martin; Robert M. Rabin; R. Krishnan


Natural Hazards and Earth System Sciences | 2015

Atmospheric circulation patterns, cloud-to-ground lightning, and locally intense convective rainfall associated with debris flow initiation in the Dolomite Alps of northeastern Italy

S. Jeffrey Underwood; Michael D. Schultz; Metteo Berti; Carlo Gregoretti; Alessandro Simoni; Thomas L. Mote; Anthony M. Saylor


Journal of Operational Meteorology | 2013

They Just Don’t Make Storms Like This One Anymore: Analyzing the 1959 Record Snowfall Season at Mt. Shasta CA

Cassandra Hansen; Michael L. Kaplan; Scott A Mensing; S. Jeffrey Underwood; John M. Lewis; K. C. King; Jake E. Haugland


Archive | 2013

Spatial and Temporal Prediction of Landslides in the Framework of Climate Change

S. Jeffrey Underwood; Carlo Gregoretti; Matteo Berti

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John M. Lewis

Desert Research Institute

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K. C. King

Desert Research Institute

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Jonathan E. Martin

University of Wisconsin-Madison

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Michael D. Schultz

Southern Illinois University Carbondale

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Patricia M. Pauley

United States Naval Research Laboratory

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R. Krishnan

Indian Institute of Tropical Meteorology

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Ramesh Vellore

Indian Institute of Tropical Meteorology

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Robert M. Rabin

National Oceanic and Atmospheric Administration

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